- Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or related field.
- More than 6+ years of experience managing Linux-based systems in HPC, distributed systems, or extensive AI/ML settings.
- Hands-on experience running AI/ML workloads on multi-GPU and/or multi-node clusters, with practical knowledge of NCCL.
- Solid grasp of collective communication patterns, particularly AllReduce and AllToAll, and how they are applied in contemporary ML/LLM training.
- Familiarity with LLM training and/or inference workflows using frameworks such as PyTorch or TensorFlow.
- Proficiency with Python and Shell/Bash for scripting, automation, and tooling.
- Experience with benchmarking (crafting, executing, and interpreting performance benchmarks).
- Comfortable working with observability data (metrics, logs, dashboards) to troubleshoot and optimize complex distributed workloads.
- Strong communication skills and the ability to work effectively with cross-functional teams.
Ways to Stand Out From the Crowd
- Experience with AI factory or large-scale AI infrastructure build, deployment, or operations.
- Background in HPC performance engineering, SRE, or systems performance analysis for GPU-accelerated environments.
- Familiarity with observability stacks (e.g., metrics/monitoring, logging, tracing systems) used for large distributed systems.
- Experience building automation and CI-style pipelines for running and validating benchmarks at scale.
- Demonstrated desire to use AI to solve practical problems, improve workflows, and guide data-driven decisions.
NVIDIA is widely considered one of the technology world’s most desirable employers. Some of the world's most forward-thinking and hardworking people are working for us. If you're creative and autonomous, we want to hear from you.
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Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 148,000 USD – 235,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.